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Public Mobility and Social Media Attention in Response to COVID-19 in Sweden and Denmark

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JAMA Network Open

Published Online: January 4, 2021

Research Letter

Article Information and Disclosures

Le Zhang, MPH¹;

Isabell Brikell, PhD¹;

Søren Dalsgaard, MD, PhD²;

Zheng Chang, PhD¹

Author Affiliations

¹Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
²National Centre for Register-based Research, Department of Economics and Business Economics, Aarhus University School of Business and Social Sciences Aarhus, Denmark

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To reduce the spread of coronavirus disease 2019 (COVID-19), countries have implemented different societal interventions, and evaluation of the effect on public response is needed.¹ Sweden and Denmark are comparable countries in terms of health care and sociodemographic characteristics; however, Denmark was one of the first countries to enforce lockdown and subsequent gradual reopening, whereas Sweden has had few restrictions, largely limited to public recommendations. We assessed public mobility and social media attention associated with COVID-19 spread and societal interventions from February 15 to June 14, 2020, in Denmark and Sweden.

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Article Information

Accepted for Publication: November 22, 2020.

Published: January 4, 2021. doi:10.1001/jamanetworkopen.2020.33478

Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Zhang L et al. JAMA Network Open.

Corresponding Author: Isabell Brikell, PhD, Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12 A, 171 77 Stockholm, Sweden (isabell.brikell@ki.se).

Author Contributions: Drs Brikell and Zhang contributed equally to this work. Drs Brikell and Zhang had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Brikell, Chang.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Brikell.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Zhang, Chang.

Obtained funding: Chang.

Administrative, technical, or material support: Zhang, Chang.

Supervision: Brikell, Dalsgaard, Chang.

Conflict of Interest Disclosures: Dr Brikell reported receiving grants from the Swedish Brain Foundation. Dr Dalsgaard reported receiving grants from The Lundbeck Foundation, the Novo Nordisk Foundation, the European Commission, Helsefonden, and the European Union’s Horizon 2020 research and innovation programme. Dr Chang reported receiving grants from the Swedish Research Council and the Swedish Research Council for Health, Working Life and Welfare. No other disclosures were reported.

References

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Google LLC. Google COVID-19 community mobility reports. Accessed June 14, 2020. https://www.google.com/covid19/mobility/

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Dong E , Du H , Gardner L . An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020;20(5):533-534. doi:10.1016/S1473-3099(20)30120-1 PubMed Google Scholar Crossref

Bernal JL , Cummins S , Gasparrini A . Interrupted time series regression for the evaluation of public health interventions: a tutorial. Int J Epidemiol. 2017;46(1):348-355.PubMed Google Scholar

Li Y , Campbell H , Kulkarni D , et al. The temporal association of introducing and lifting non-pharmaceutical interventions with the time-varying reproduction (R) number of SARS-CoV-2: a modelling study across 131 countries. The Lancet Infect Dis. Published online October 20, 2020. doi:10.1016/S1473-3099(20)30785-4

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Credit Designation Statement: The American Medical Association designates this Journal-based CME activity activity for a maximum of 1.00  AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Successful completion of this CME activity, which includes participation in the evaluation component, enables the participant to earn up to:

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